Get continuous, evidence-backed visibility into your AI applications, models, and agents.
AI governance and compliance standards change fast. Mindgard makes sure you stay compliant.
AI governance starts with knowing what you have, what it can do, how it behaves, where risk exists, and how that risk is being reduced.
Discover and inventory AI applications, models, agents, and shadow AI across your entire environment.
Understand prompts, guardrails, tools, workflows, input/output capabilities, and connected components.
Use continuous AI security testing to reveal unsafe behavior, exploitable weaknesses, and policy violations.
Prioritize findings by severity, exposure, affected target, business context, and urgency of remediation.
Generate evidence, remediation guidance, and audit-ready reports mapped to OWASP, MITRE, NIST, and AIUC-1.
Mindgard helps security and governance teams discover AI assets, understand behavior, prioritize risk, and demonstrate alignment with the frameworks they already use.
Mindgard surfaces vulnerabilities, unsafe behaviors, and system weaknesses so security teams can quantify risk and prioritize remediation across your AI environments.
Map AI security findings to MITRE, NIST, OWASP, AIUC-1 and other security frameworks. Support audits, internal policies, regulatory readiness, and executive reporting without creating a parallel governance process.
The expanding attack surface isn’t the only AI challenge businesses face. Changing regulations complicate compliance and expose operations to additional risk. Mindgard gives security teams everything they need to address both sides of the equation.
Whether you're just getting started with AI Security Testing or looking to deepen your expertise, our engaging content is here to support you every step of the way.
Mindgard, the leading provider of AI security solutions, helps enterprises discover, assess, and defend their AI systems. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard combines AI red teaming with offensive security expertise and AI research to identify exploitable vulnerabilities in AI models, agents, and applications before attackers do.
